India's Largest IT Firm Tata Consultancy Services Confirms Building Its Own ChatGPT-like AI Tool

At a time when each passing day is bringing in newer innovations in the AI (artificial intelligence) world, India¡¯s largest IT firm TCS too has confirmed entering this space.

Prior to TCS, Tata group-owned Air India had said that it will be using ChatGPT-driven chatbot as part of modernising its digital systems.

TCS Building Its Own ChatGPT-like Tool

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Tata Consultancy Services (TCS) is building its own ChatGPT equivalent (tool) to be used for enterprise code generation, its Chief Operating Officer N Ganapathy Subramaniam has said.

Though the project is at a very initial stage right now, TCS is looking to harness the vast internal code, data and resources that the country¡¯s largest software services firm has. The solution will be built through in-house algorithms that use large language modelling functions similar to generative artificial intelligence (AI) chatbots such as ChatGPT but for enterprise code generation.

¡°The way we look at it, it (generative AI) uses past code, data and experience to learn,¡± Subramaniam told ET. ¡°And over the many years that TCS has been in business, I can use all of my knowledge as a base. So, if that technology uses and generates code that I have taught the algorithm using TCS proprietary data, then the outcome is something that I am willing to license.¡±

He also said that TCS is working on use cases to build proprietary generative AI algorithms to build code and the process has to mature further. He believes enterprise usage of these generative AI solutions still requires finetuning in terms of ownership and IP of the end products, hence enterprise solutions will see demand.

Also Read: The Untold Story Of TCS' First CEO & Co-founder F. C. Kohli

Expected To Roll Out Before May 2024?

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TCS COO Subramaniam, who retires in May 2024, expects TCS to roll out some of these solutions before the end of his tenure. ¡°The focus is really to build models and using those models, generate the code that can be deployed,¡± he said, as per ET.

He said if TCS wants to provide secure and contextual generative AI solutions to accelerate client projects, it cannot depend only on multiple large language tools from different providers but should have its own solution.

¡°Everybody (clients) is ready to use generative AI. But then, as a supplier, I am obliged to deliver them something which is free of any infringement, and full ownership of the intellectual property,¡± Subramaniam said. Also, the industry will have to wait for regulations governing these solutions to mature further to realise the full potential of the technology, he said.

"Seeing A Huge Opportunity"

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Also Read: At 2.10 lakh, TCS Becomes Top Women Employer In India

TCS COO Subramaniam sees a huge opportunity in creating new roles for ¡°prompt engineers¡± within the organisation who can effectively communicate contextual queries to large language models for enterprise requirements.

¡°So, one of the things that we are hearing in the market is that the way you prompt the questions to generative AI platforms is very important, right? So, we are conceptualising a role called ¡®prompt engineers¡¯ within the organisation,¡± he said. ¡°We are yet to get approval on it, but we know that this role will be as critical as having engineering, mathematical or analytical skills.¡±

TCS sees an opportunity to integrate its generative AI offering with its low-code software development platform MasterCraft, the report mentioned. This will be similar to Copilot ¨C a solution to auto-generate code, launched by Microsoft-owned GitHub and OpenAI in October 2021, to help write software programs faster.

¡°As of today, over 100 clients are using the Mastercraft tool,¡± TCS COO Subramaniam said. ¡°We have not put ChatGPT-like solutions for data pattern intelligence into it. But when we do eventually, our vision for MasterCraft to be a (intelligent) low-code platform will come true.¡±

TCS COO also reportedly said that the IT giant has already built a number of internal use cases using generative AI solutions while also working with global partners.

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